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Data Scientist, Mid

BOOZ, ALLEN & HAMILTON, INC.Silver Spring, MD🇺🇸United StatesPosted Oct 17, 2026

Why This Role Stands Out

Leverage your data science expertise to solve complex global challenges with impactful projects across diverse sectors, benefiting from a competitive salary range and hybrid flexibility. This role is ideal for driven individuals with 2+ years of experience in programming languages like Python or R, eager to develop innovative algorithms and provide critical insights to clients. Apply now to join a team where your skills in machine learning and data analysis will drive meaningful change.

Quick Overview

Salary
$77.6k - $176k/yr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Silver Spring, MD, United States
Posted
2 days ago
SpringETLMachine LearningGitIoTPython

Job Description

Data Scientist, Mid | Silver Spring, MD, United States | Hybrid

We're hiring on behalf of a globally recognized professional services firm, known for its commitment to solving complex global challenges through data science and advanced analytics. This employer is at the forefront of innovation, leveraging technologies like IoT, machine learning, and artificial intelligence to drive impactful solutions across both public and private sectors.

The Role

  • Apply data science expertise to unlock insights from complex datasets and drive real-world impact.
  • Collaborate with clients to understand their needs and translate them into data-driven solutions.
  • Lead the development of algorithms and systems, guiding teammates in data science projects.
  • Utilize a combination of tools and frameworks to transform disparate data points into actionable intelligence.
  • Advise clients in making informed decisions by providing deep understanding of data meaning and application.
  • Work across diverse domains such as fraud detection, healthcare, and national intelligence.

What You'll Need

  • 2+ years of experience with data science programming languages such as Python or R.
  • Experience creating ETL pipelines, including data querying, cleaning, conditioning, and schema creation.
  • Proficiency with version control tools like Git or GitHub.
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods.
  • Ability to design and develop automated analytic software and algorithms.
  • TS/SCI clearance is required.
  • Bachelor's degree in data science or a related field, or equivalent relevant experience.

What's On Offer

  • Opportunity to work on challenging problems with global impact.
  • Collaborative team environment with the chance to lead and mentor.
  • Competitive compensation and comprehensive benefits package.
  • Encouragement for continuous learning and professional development.

Apply via Haystack today!

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